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What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens to the expected value of M as sample size increases?
Decreases
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
What happens to the distribution of the t-score as the sample size increases?
It approaches a normal distribution.
What happens to the standard error of the mean if the sample size is increased?
Decrease
What happens to the standard error of the mean if the sample size is decreased?
The standard error increases.
What happens to the expected value of M as sample size increases?
Decreases
What happens to the standard deviation as the sample size increases?
As the sample size increases, the standard deviation of the sample mean, also known as the standard error, tends to decrease. This is because larger samples provide more accurate estimates of the population mean, leading to less variability in sample means. However, the standard deviation of the population itself remains unchanged regardless of sample size. Ultimately, a larger sample size results in more reliable statistical inferences.
As the sample size increases the effect of an extreme value on the sample mean becomes smaller.?
yes
What happens to the distribution of the t-score as the sample size increases?
It approaches a normal distribution.
When the size of a representative sample increases does the mean range median or standard deviation decrease?
mean
As standard deviation increases what happens to the sample size in order to achieve a specified level of confidence?
decreases
What happens to the width of the confidence interval when you are unable to get a large sample size?
The width of the confidence interval increases.
What happens to the standard error of the mean if the sample size is increased?
Decrease
Does the distribution of sample means have a standard deviation that increases with the sample size?
No, it is not.
As the sample size increases the standard deviation of the sampling distribution increases?
No.
How does sample size affect the size of your standard error?
The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.
